{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["price", "place", "time", "attack pattern", "victim", "tool"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch number", "vulnerable system version", "supported platform", "issues addressed", "common vulnerabilities and exposures", "patch"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "capabilities", "vulnerable system", "discoverer"]}, {"event_type": "phishing", "trigger": true, "arguments": ["tool", "place", "attacker", "victim", "damage amount", "time"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "time", "place", "victim", "damage amount", "purpose", "number of data", "attack pattern", "tool", "compromised data"]}], "input": "The health care institution paid nearly $ 50,000 to retrieve patient data ."}
{"ransom": [{"trigger": "paid", "arguments": {"price": "$ 50,000", "place": "NAN", "time": "NAN", "attack pattern": "NAN", "victim": "The health care institution", "tool": "NAN"}}], "patch vulnerability": [], "discover vulnerability": [], "phishing": [], "data breach": []}